André Artelt, Barbara Hammer. Convex Density Constraints for Computing Plausible Counterfactual Explanations. In Igor Farkas, Paolo Masulli, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I. Volume 12396 of Lecture Notes in Computer Science, pages 353-365, Springer, 2020. [doi]
@inproceedings{ArteltH20,
title = {Convex Density Constraints for Computing Plausible Counterfactual Explanations},
author = {André Artelt and Barbara Hammer},
year = {2020},
doi = {10.1007/978-3-030-61609-0_28},
url = {https://doi.org/10.1007/978-3-030-61609-0_28},
researchr = {https://researchr.org/publication/ArteltH20},
cites = {0},
citedby = {0},
pages = {353-365},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I},
editor = {Igor Farkas and Paolo Masulli and Stefan Wermter},
volume = {12396},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-61609-0},
}